Transfer Learning

Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling JMLR 2016 Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016 Multi-view and multi-task training of RST discourse parsers COLING 2016 MuTUAL: A Controlled Authoring Support System Enabling Contextual Machine Translation COLING 2016 Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik COLING 2016 One-Shot Learning of Scene Locations via Feature Trajectory Transfer CVPR 2016 On the Use of Gaussian Mixture Model Framework to Improve Speaker Adaptation of Deep Neural Network Acoustic Models Interspeech 2016 Personalizing Human Video Pose Estimation CVPR 2016 Political News Sentiment Analysis for Under-resourced Languages COLING 2016 Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks COLING 2016 Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer CVPR 2016 Sincerity and Deception in Speech: Two Sides of the Same Coin? A Transfer- and Multi-Task Learning Perspective Interspeech 2016 Subspace LHUC for Fast Adaptation of Deep Neural Network Acoustic Models Interspeech 2016 Summary Transfer: Exemplar-Based Subset Selection for Video Summarization CVPR 2016 The Multiverse Loss for Robust Transfer Learning CVPR 2016 Unsupervised Domain Adaptation with Residual Transfer Networks NeurIPS 2016 Web Data Selection Based on Word Embedding for Low-Resource Speech Recognition Interspeech 2016 Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge COLING 2016 BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions NeurIPS 2015 Classifier Adaptation at Prediction Time CVPR 2015 Classifier Learning With Hidden Information CVPR 2015 Cross-Scene Crowd Counting via Deep Convolutional Neural Networks CVPR 2015 Curriculum Learning of Multiple Tasks CVPR 2015 Deep Transfer Metric Learning CVPR 2015 Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning CVPR 2015